Hybrid Genetic Algorithm with Baum-Welch Algorithm by using diversity population technique

Nootyaskool, Supakit; Kruatrachue, Boontee

doi:10.1109/ISCIT.2006.339879

Hybrid Genetic Algorithm with Baum-Welch Algorithm by using diversity population technique

Author(s)

Nootyaskool, Supakit

Kruatrachue, Boontee

Date Issued

December 1, 2006

Type

Conference Paper

DOI

10.1109/ISCIT.2006.339879

Abstract

Baum-Welch Algorithm (BWA) have used in recognition systems, many researchers have improved BWA performances by using Hybrid Genetic Algorithm (HGA). This paper presents a new HGA technique by using diversity population structure. We surveyed HGA techniques and divided into four types. There were separate processes, population types, fitness determiners, and diversity population structure. A technique of diversity population structure protected applying BWA to similar population. Different population structures make available GA to find optimum point quickly. This paper compared all of HGA techniques, which there trained on Hidden Markov Models (HMM), in an application Thai off-line handwritten recognition, we used database from NECTEC. An experiment of HGA, HMM probability of diversity population techniques get better than techniques of population types 52.65% improvement and there better than techniques of separately process 37.91% improvement. Moreover, HGA experimented five times repeatedly, standard derivation value of diversity population techniques showed closely results. © 2006 IEEE.

Citation

2006 International Symposium on Communications and Information Technologies Iscit, 15-20, 2006